166 citations · 414 across the 20 of their papers we have counts for
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astro-ph.GA2018★ 4 cited
Sharpening up Galactic all-sky maps with complementary data - A machine learning approach
Ancla Müller, Moritz Hackstein, Maksim Greiner +4
Galactic all-sky maps at very disparate frequencies, like in the radio and -ray regime, show similar morphological structures. This mutual information reflects the imprint of th…
astro-ph.IM2018★ 2 cited
Separating diffuse from point-like sources - a Bayesian approach
Jakob Knollmüller, Philipp Frank, Torsten A. Enßlin
We present the starblade algorithm, a method to separate superimposed point sources from auto-correlated, diffuse flux using a Bayesian model. Point sources are assumed to be indep…